tata1661/FSL-Mate resource
FSL-Mate: A collection of resources for few-shot learning (FSL). observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 78
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2349
- days_rel: n/a
- days_push: 137
- n_releases_24m: 0
Adoption not part of the score
1764 stars · 287 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
FSL-Mate is a curated collection of resources for few-shot learning, containing a tracked paper list (FewShotPapers) and a PaddlePaddle-based Python library (PaddleFSL). It is regularly updated with papers from major ML and CV/NLP conferences.
Use cases
- find recent few-shot learning papers
- track meta-learning research advances
- get started with few-shot learning in Python
- find one-shot learning survey material
- run few-shot learning experiments with PaddlePaddle
- keep up with FSL papers from CVPR, NeurIPS, ACL
When to choose
- you need an up-to-date curated list of few-shot learning literature
- you want a PaddlePaddle-based library for FSL experiments
- you are surveying meta-learning or low-shot research
When to avoid
- you need a production-ready few-shot learning framework in PyTorch or TensorFlow
- you want a maintained library with a clear license for commercial use
- you only need general-purpose deep learning tooling
Facets
learning-resource · maturity active
machine-learning deep-learning documentation machine-learning deep-learning tutorials awesome-lists python few-shot-learning meta-learning one-shot-learning paper-list paddlepaddle research
1 source
- readme: https://github.com/tata1661/FSL-Mate · fetched 2026-08-28 · ae9ed1086801
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tata1661/FSL-Mate | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="tata1661/FSL-Mate")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem